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Record W4234147840 · doi:10.24908/iqurcp.7827

Elevated Love: Correggio and Michelangelo’s Depictions of The Rape of Ganymede

2017· article· en· W4234147840 on OpenAlexvenueno aff
Yvonne Li

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)SoulReinterpretationLiteratureMythologyRealmInterpretation (philosophy)ArtPoetryPhilosophyHistoryAesthetics

Abstract

fetched live from OpenAlex

Chronicling the lives of the pagan Gods, Metamorphoses was essentially a compilation of stories based on Greek mythology. As the title suggests, the primary theme throughout the work was that of change and evolution. Suggesting that the process was naturally occurring, the stories also sent the message that in spite of any physical transformation, the soul or spirit would remain fundamentally the same. In short, the world was in constant flux but the soul was not. Although this idea ran throughout the epic poem, Ovid’s story was richly layered and comprised of many other aspects, with various themes continuing throughout the book. One reoccurring theme was that of unrequited love, which often involved one character in aggressive pursuit. Jove, otherwise known as Jupiter in Roman mythology, was the supreme God of the Heavens and though he was married to Juno, he often lusted after the most beautiful of mortals in the earthly realm. This presentation proposes that while Ovid’s Metamorphoses provided a starting point for artists, these Ovidian stories were open to interpretation (and reinterpretation). Similar to religious imagery, which was most dominant at the time, they were constantly adapted in art. Examining two different portrayals of the Rape of Ganymede, one by Correggio and the other by Michelangelo demonstrates how Metamorphoses, as the title implies, was able to continually evolve and remain relevant to the changing social values.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.180
GPT teacher head0.362
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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